Results 71 to 80 of about 274,696 (183)
Statistical Relational Learning: An Inductive Logic Programming Perspective [PDF]
, 2005 In the past few years there has been a lot of work lying at the intersection of probability theory, logic programming and machine learning [14,18,13,9,6,1,11]. This work is known under the names of statistical relational learning [7,5], probabilistic logic learning [4], or probabilistic inductive logic programming.
openaire +2 more sources
Numeric Input Relations for Relational Learning with Applications to Community Structure Analysis
, 2015 Most work in the area of statistical relational learning (SRL) is focussed on discrete data, even though a few approaches for hybrid SRL models have been proposed that combine numerical and discrete variables.
Jaeger, Manfred, Jiang, Jiuchuan
core
The effect of lexicalization biases on cross-situational statistical learning of novel verbs
Language and CognitionLanguages vary in the mapping of relational terms onto events. For instance, English motion descriptions favor manner (how something moves) verbs over path (where something move) verbs, whereas those of other languages, like Spanish, show the opposite ...
Nathan R. George +3 more
doaj +1 more source
Transforming Graph Data for Statistical Relational Learning
Journal of Artificial Intelligence Research, 2012 Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and a corresponding increase in the application of Statistical Relational Learning (SRL) algorithms to these domains.
R. A. Rossi +3 more
openaire +2 more sources
Statistical relational learning for prognostics
, 2012 The field of prognostics aims to predict the remaining useful life of a component or machine by means of probabilistic models. These models typically need to satisfy different requirements imposed by the available data, the expert knowledge and the prediction task at hand.
Vlasselaer, Jonas, Meert, Wannes
openaire +1 more source
Logic, Probability and Learning, or an Introduction to Statistical Relational Learning [PDF]
, 2008 Probabilistic inductive logic programming (PILP), sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integration of probabilistic reasoning with first order logic representations and machine learning.
openaire +2 more sources
SAGE OpenThis article examines the relationship between dialogic STEAM education (Science, Technology, Engineering, Arts, and Mathematics) and the development of critical thinking among high school students in Northeastern Mexico during the COVID-19 pandemic. The
Juan Manuel Fernández-Cárdenas +1 more
doaj +1 more source
Statistical Relational Learning [PDF]
, 2011 De Raedt, Luc, Kersting, Kristian
openaire +2 more sources
Editorial: Statistical Relational Artificial Intelligence
Frontiers in Robotics and AI, 2019 Fabrizio Riguzzi +3 more
doaj +1 more source
Query Completion for Small-Scale Distributed Databases in PostgreSQL and MongoDB [PDF]
Database Systems JournalRelational/SQL and document/JSON data stores are competing but complementary technologies in OLAP (On-Line Analytical Processing) systems. Whereas traditional approaches for performance comparison use query execution time, this paper compares two ...
Marin FOTACHE +3 more
doaj